[Purpose/Significance] Facing the rapid development of the open internet digital economy and emerging artificial intelligence technologies represented by ChatGPT, this paper studies how to construct a new type of scientific and technological literature data resources for large language model, and designs a digitalization & intelligentization transformation framework for the scientific literature data resources construction for smart research and intelligence information, and accelerates the rapid development of AI4S research paradigms and intelligence models. [Method/Process] Through literature research and concept analysis, this paper analyzed the evolution characteristics of the connotation of scientific and technological literature data resources from four perspectives: development positioning, service orientation, value connotation, and construction content. It summarized the three typical scenarios of the construction of scientific and technological literature data resources, and analyzed the urgent demands and development trends of digitalization & intelligentization transformation. [Result/Conclusion] This paper proposes a digitalization & intelligentization transformation framework for constructing scientific and technological literature data resources, based on three main lines: professional foundational theory research, policy mechanisms and information technology support, and smart knowledge bases. The framework includes nine core elements: professional foundational theory research, the data rights system, the data security strategy, advanced information technology applications, smart data of science and technology, new type of science and technology literature data resources for large language model, autonomous and controllable of data platform of smart scientific research, intelligent service engine, and intelligence scenario-based smart data products. This forms an ecosystem for the construction and service of scientific and technological literature data resources that possesses future scientific standards and vigorous innovation vitality.
Qian Li
,
Liu Zhibo
,
Liu Xiwen
,
Zhang Zhixiong
,
Chang Zhijun
,
Li Xin
,
Liu Zheng
. Research on Digitalization & Intelligentization Transformation of Scientific and Technological Literature Data Resources Construction: Practical Exploration of National Science Library, CAS[J]. Library and Information Service, 2025
, 69(10)
: 4
-13
.
DOI: 10.13266/j.issn.0252-3116.2025.10.001
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